Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T121D2A66241017129423BCBE6FAB7AB7133AF51DCB75F505029FEA334159BFE4EA0A051 |
|
CONTENT
ssdeep
|
384:mH+7tYNcate6PwUMGnp7aXw6J6c+4l3qWhFvK+dJH8TbzTEGe0/7:mHEtrrUFt6J6G3tbvK+dBkkGe0D |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ed6d92926c64929b |
|
VISUAL
aHash
|
ffcbd3d3d3ffe7ff |
|
VISUAL
dHash
|
a812169616090c10 |
|
VISUAL
wHash
|
4fc3c3d3d0e4e0e0 |
|
VISUAL
colorHash
|
07000000c00 |
|
VISUAL
cropResistant
|
a812169616090c10 |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 3 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)